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1.
Curr Allergy Asthma Rep ; 24(7): 361-372, 2024 Jul.
Artigo em Inglês | MEDLINE | ID: mdl-38954325

RESUMO

PURPOSE OF REVIEW: Artificial intelligence (AI), be it neuronal networks, machine learning or deep learning, has numerous beneficial effects on healthcare systems; however, its potential applications and diagnostic capabilities for immunologic diseases have yet to be explored. Understanding AI systems can help healthcare workers better assimilate artificial intelligence into their practice and unravel its potential in diagnostics, clinical research, and disease management. RECENT FINDINGS: We reviewed recent advancements in AI systems and their integration in healthcare systems, along with their potential benefits in the diagnosis and management of diseases. We explored machine learning as employed in allergy diagnosis and its learning patterns from patient datasets, as well as the possible advantages of using AI in the field of research related to allergic reactions and even remote monitoring. Considering the ethical challenges and privacy concerns raised by clinicians and patients with regard to integrating AI in healthcare, we explored the new guidelines adapted by regulatory bodies. Despite these challenges, AI appears to have been successfully incorporated into various healthcare systems and is providing patient-centered solutions while simultaneously assisting healthcare workers. Artificial intelligence offers new hope in the field of immunologic disease diagnosis, monitoring, and management and thus has the potential to revolutionize healthcare systems.


Assuntos
Inteligência Artificial , Hipersensibilidade , Humanos , Hipersensibilidade/diagnóstico , Hipersensibilidade/terapia , Hipersensibilidade/imunologia , Aprendizado de Máquina , Atenção à Saúde
2.
Cureus ; 16(2): e54939, 2024 Feb.
Artigo em Inglês | MEDLINE | ID: mdl-38544619

RESUMO

This case report underscores the effective implementation of a delivery plan for a pregnant patient, focusing on a successful case study where a cesarean section, preceded by the pre-treatment of intravenous plasma-derived C1 inhibitor, resulted in the delivery of a healthy baby. The proposed delivery plan offers a systematic approach to managing hereditary angioedema during pregnancy. It recommends opting for delivery at an academic center equipped with high-risk obstetric care, obstetric anesthesia, and a level 4 Neonatal Intensive Care Unit. The plan also emphasizes the importance of early admission at the onset of labor and delineates specific protocols for both vaginal and cesarean deliveries.

3.
Cureus ; 15(12): e49775, 2023 Dec.
Artigo em Inglês | MEDLINE | ID: mdl-38161525

RESUMO

Cardiovascular diseases (CVDs) represent a major global health concern, responsible for significant morbidity, mortality, and disability. To mitigate the impact of CVDs, individuals often seek preventive measures, and one such approach is the consumption of green tea. This study aims to provide a comprehensive and up-to-date assessment of the effects of green tea consumption on the prevalence of cardiovascular outcomes. Following PRISMA guidelines, we conducted a systematic review using PubMed and Google Scholar databases to identify relevant studies. Our analysis revealed that the risk factors associated with CVDs can vary across different diseases, with hypertension being a common risk factor for CVD mortality and CVD. Notably, the consumption of green tea exhibited a positive effect on reducing the prevalence of cardiometabolic risks and hypercholesterolemia. Furthermore, green tea consumption was observed to have a beneficial impact on lowering both diastolic and systolic blood pressure. In conclusion, the studies reviewed in this research suggest that the consumption of green tea has a significant and positive influence on cardiovascular health. These findings highlight the potential of green tea as a valuable component of a healthy lifestyle, offering a promising avenue for its use as a dietary supplement to reduce the risk of CVDs.

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